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In this paper, we use the blockchain technology to design a prototype to secure process data from a 3D-printer. Datastreams are gathered from various sources such as OPC UA servers and autonomous retrofit sensor nodes. This is followed by pre-processing for data reduction, storage in a data model, and the generation of a unique hash value over it. The hash values are stored in a blockchain using appropriate consensus methods, taking into account their temporal origin and production identification number. This also includes the context-related influence of sensor signals on the production process Restrictive access regulations using smart contracts make a partially or fully automated machine tool calibration possible. In this context, we show to realize a process partial or full automation through smart contracts. Physical machine tools and virtual simulations are integrated into the block-chain network to document the stability and performance.
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Tom
Strony
89--97
Opis fizyczny
Bibliogr. 23 poz., rys.
Twórcy
autor
- Cyber-Physical Production Systems, Fraunhofer Institute for Machine Tools and Forming Technology IWU, Germany
autor
- Cyber-Physical Production Systems, Fraunhofer Institute for Machine Tools and Forming Technology IWU, Germany
autor
- Chair of Machine Tools Development and Adaptive Controls, TU Dresden, Germany
autor
- Cyber-Physical Production Systems, Fraunhofer Institute for Machine Tools and Forming Technology IWU, Germany
autor
- Chair of Machine Tools Development and Adaptive Controls, TU Dresden, Germany
Bibliografia
- [1] BÖHLER T., 2020, So Schafft Einzelteilrückverfolgung Mehr Transparenz, https://www.produktion.de/technik/so-schafft-einzelteilrueckverfolgung-mehr-transparenz-262.html, (14.05. 2020).
- [2] FEDKENHAUER T., Datenaustausch Als Wesentlicher Bestandteil der Digitalisierung, https://www.pwc.de/de/digitale-transformation/studie-datenaustausch-digitalisierung.pdf, (14.05.2020).
- [3] BOTTHOF A., HARTMANN E.A., 2015, Zukunft der Arbeit in Industrie 4.0. Springer Berlin Heidelberg, 99.
- [4] GSMA HEAD OFFICE, 2020, Opportunities and Use Cases for Distributed Ledger Technologies in IoT, https://www.gsma.com/iot/wp-content/uploads/2018/09/Opportunities-and-Use-Cases-for-Distributed-Ledgers-in-IoT-f.pdf, 14.05.2020.
- [5] NEUGEBAUER R., 2018, Digitalisierung: Schlüsseltechnologien für Wirtschaft und Gesellschaft, 154f, Springer.
- [6] WITT E., ANTON C., 2020, Additive Fertigung. Entwicklungen, Möglichkeiten und Herausforderungen Stellungnahme, Deutsche Akademie Der Naturforscher Leopoldina e.V., Halle (Saale).
- [7] KLAHN C., MEBOLDT M., HÖFFKEN S., 2020, So Funktioniert Qualitätssicherung in der Additiven Fertigung, https://www.mission-additive.de/so-funktioniertqualitaetssicherung-in-der-additiven-fertigung-a-887397/, (01.11. 2020).
- [8] NEUGEBAUER R., 2018, Digitalisierung: Schlüsseltechnologien für Wirtschaft und Gesellschaft, 197. Springer.
- [9] GEBHARDT M., WEGENER K., 2013. Temperatureinfluss auf Werkzeugmaschinen, Machine Tools and Machinery (Manufacturing Technology), ETH Zürich, 59–63.
- [10] KAFKA A., 2020, Kafka 2.4 Documentation, https://kafka.apache.org/documentation/#introduction, (28. 3 2020).
- [11] REINERO B., 2017, Transitioning from Relational Databases to MongoDB – Data Models, https://www.mongodb.com/blog/post/transitioning-from-relational-databases-to-mongodb, 27/4.
- [12] GÖTZ C., 2020, MQTT: Protokoll für das Internet der Dinge, https://www.heise.de/developer/artikel/MQTT-Protokoll-fuer-das-Internet-der-Dinge-2168152.html?seite=all, 08.05.2020.
- [13] INRAY INDUSTRIESOFTWARE GMBH, 2020, Was ist OPC UA?, https://www.opc-router.de/was-ist-opc-ua/, 28/3.
- [14] VDMA, FRAUNHOFER IOSB-INA, 2017, Industrie 4.0 Kommunikation mit OPC UA.
- [15] MANDL P., 2018, TCP und UDP Internals, Springer Vieweg.
- [16] RED PULSE, All Blockchain are DLTs but not all DLTs are Blockchain, https://www.redpulse.com/insight/20190601/all-blockchain-are-dlts-but-not-all-dlts-are-blockchain--e14df7e07f, (09.05.2020).
- [17] ZHENG Z., XIE S., DAI H., CHEN X., WANG H., 2017, An Overview of Blockchain Technology: Architecture, Consensus and Future Trends, IEEE 6th International Congress on Big Data.
- [18] LEMME G., LEMME, D., NÖLSCHER K.A., IHLENFELDT S., 2020, Towards Safe Service Ecosystems for Production for Value Networks and Manufacturing Monitoring, Journal of Machine Engineering, 20/1, 117–126.
- [19] SZABO N., 1997, The Idea of Smart Contracts, Satoshi Nakamoto Institute, https://nakamotoinstitute.org/the-idea-of-smart-contracts/.
- [20] BOGENSPERGER A., ZEISELMAIR A., HINTERSTOCKER M., 2018, The Blockchain Technology – a Chance to Transform the Energy Supply?, Report section technology description, 46f.
- [21] LEMME G., NÖLSCHER K.A., 2019, Wireless Sensor Network for Retrofitting Production Systems, 18 Fachge spräch Sensornetze der GI/ITG Fachgruppe, Kommunikation und Verteilte Systeme, Magdeburg.
- [22] ECLIPSE, 2020, Production Performance Management Protocol Specification, https://www.eclipse.org/unide/specification/v3/machine-message#messageDetail, (14.05.2020).
- [23] PRITZKER P., GALLAGHER P.D., 2015, SHA-3 Standard: Permutation-Based Hash and Extendable-Output Functions, Laboratory National Institute of Standards and Technology.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-c9f3394f-26b0-423a-9419-2a968e79e6eb